Polars 0.16.0 is out!

This page summarizes the projects mentioned and recommended in the original post on /r/rust

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  • arrow2

    Discontinued Transmute-free Rust library to work with the Arrow format

    This release comes with a lot of features, performance improvements and bug fixes read the changelog. Most notable change may be that this polars release now is based on arrow2.

  • polars

    Dataframes powered by a multithreaded, vectorized query engine, written in Rust

    Polars is a blazingly fast DataFrame library/ in memory query engine written in Rust and usable in Rust and Python.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • nushell

    A new type of shell

    nushell (a new type of shell)

  • explorer

    Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir

    explorer (a dataframe lib in elixir)

  • pyodide

    Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

  • db-benchmark

    reproducible benchmark of database-like ops

    In this particular case the reason is because it is the most performant dataFrame API in the H2O benchmark, so imo it is justified.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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